Multi-Objective Optimization of Coil Arrays in Arrayed Wireless Power Transmission Systems

Array wireless power transmission (A WPT) systems use coil arrays as the coupling structure, which enables high power, high reliability power transmission. The coil array has numerous parameters and complex coupling mechanism, which makes it difficult to realize the optimal design. To solve this problem, this paper demonstrates a multi-objective optimization method for coil arrays. An analytical model of the coil array is established, and analytical expressions for the self inductance, mutual inductance and coupling coefficients are given. A multi-objective optimization process based on genetic algorithms and Pareto frontiers is proposed by the analytical model. The product of coupling coefficient and quality factor, and power surface density are chosen as the optimization objectives to find the optimal solution in the Pareto frontier. It is experimentally verified that the coil array designed by this method performs well with less output ripple and higher efficiency.